[PDF.tr61] Feature Selection for High-Dimensional Data (Artificial Intelligence: Foundations, Theory, and Algorithms)
Feature Selection for High-Dimensional Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos epub Feature Selection for High-Dimensional Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos pdf download Feature Selection for High-Dimensional Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos pdf file Feature Selection for High-Dimensional Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos audiobook Feature Selection for High-Dimensional Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos book review Feature Selection for High-Dimensional Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos summary
| #4511720 in Books | 2015-10-06 | Original language:English | PDF # 1 | 9.25 x.44 x6.10l,.90 | File type: PDF | 147 pages||0 of 0 people found the following review helpful.| It needs a major revision before it becomes useful.|By Customer|For a highly technical topic as such, this book is written very generically; too many words and not enough technical details. This book needs to have some ground level examples of how the mechanics of feature selection works to reduce data dimensionality. It needs a major revision before it becomes useful.<|From the Back Cover||This book offers a coherent and comprehensive approach to feature subset selection in the scope of classification problems, explaining the foundations, real application problems and the challenges of feature selection for high-dimensional da
This book offers a coherent and comprehensive approach to feature subset selection in the scope of classification problems, explaining the foundations, real application problems and the challenges of feature selection for high-dimensional data.
The authors first focus on the analysis and synthesis of feature selection algorithms, presenting a comprehensive review of basic concepts and experimental results of the most well-known algorithms.
They then addre...
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